PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-26 10:22:16.059377+00:00 (UTC)
In US/Central Time, this is 2024-05-26 05:22:16.059377-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/8171d6584a3345caf0b9325020500d2fc761c8ef7efe235f8bc09e474969a7ee.png
We are just generating a random time serie here.
../_images/3bb59b90545bf4b9a8c56fb8110ecaa9509b4688e1120a995a2d6b8ffd3ddfa6.png
../_images/e810460b847daf0b475d0d3e178a679a603994240bc5722b1f24701314d5008c.png